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Ai Test Engineer Jobs in Colorado (NOW HIRING)

Leverage AI-powered tools, machine learning techniques, and data-driven methods to improve test efficiency, failure detection, and workflow automation Minimum Qualifications: * Bachelor's degree with ...

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How much do ai test engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai test engineer in Colorado is $46.52, according to ZipRecruiter salary data. Most workers in this role earn between $35.14 and $55.10 per hour, depending on experience, location, and employer.

What is an AI test engineer?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are the key skills and qualifications needed to thrive as an AI test engineer?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.

What are some common challenges AI test engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

How do I become an AI Test Engineer?

To become an AI Test Engineer, candidates typically need a strong background in computer science, software testing, or related fields, along with knowledge of AI and machine learning concepts. Skills in programming languages such as Python or Java, experience with testing tools, and understanding of AI model evaluation are essential. Earning relevant certifications and gaining experience in software development and testing environments can also improve job prospects.

What are popular job titles related to Ai Test Engineer jobs in Colorado?

For Ai Test Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Ai Test Engineer jobs in Colorado look for?

The top searched job categories for Ai Test Engineer jobs in Colorado are:

What cities in Colorado are hiring for Ai Test Engineer jobs?

Cities in Colorado with the most Ai Test Engineer job openings:

Infographic showing various Ai Test Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $96,768 per year, or $46.5 per hour.

Staff Engineer, FW & Product Test Eng

Micron Technology

Longmont, CO • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 18 days ago


Key responsibilities

  • Develop and execute firmware verification plans for customer specifications and NVMe protocols used in enterprise SSDs.

  • Design and implement grey-box, white-box, and black-box test methodologies to verify firmware functionality and robustness.

  • Analyze failures from weekly regressions, perform root-cause analysis, and document findings.


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
OUR VISION
To redefine the global use of information, enriching life for everyone.
Micron Technology is an industry leader in memory and storage solutions, enabling the acceleration of information into actionable intelligence and fostering rapid progress in learning, communication, and technological development.
Department Introduction
The Firmware & Product Test (FPT) team at Micron Technology holds a pivotal role in validating firmware specifications for SSDs. The team develops comprehensive verification plans, implements them using Python, and ensures strict adherence to NVMe standards and security protocols. Testing methodologies include white-box, grey-box, and black-box approaches conducted on a module-by-module basis throughout firmware development and integration. Validation occurs across multiple environments, including simulation, FPGA prototyping, and prototype hardware.
Key Responsibilities
  • Develop and execute firmware verification plans for customer specifications and NVMe protocols used in enterprise SSDs, with emphasis on front-end features such as SMART, Trim, Get Log Page, and OCP.
  • Design and implement grey-box, white-box, and black-box test methodologies to verify firmware functionality and robustness.
  • Analyze failures from weekly regressions, perform root-cause analysis, and clearly document findings with guidance from senior engineers.
  • Contribute to test development, execution, automation, and reporting within established FPT frameworks.
  • Communicate test results, challenges, and mitigation plans effectively to firmware, cross-functional teams, and management.
  • Participate in code reviews and contribute to improving test coverage and code quality.
  • AI-Assisted Test Automation: Develop and enhance Python-based test automation scripts and data-collection tools; apply AI/ML techniques where appropriate to improve test efficiency and failure detection.
  • Data & ML Exposure: Assist in applying and tuning machine-learning models for anomaly detection or failure-pattern identification based on test data.
  • Collaborate closely with firmware engineers, test developers, and AI/ML contributors to continuously improve product reliability.
  • Leverage AI-Assisted, AI-Augmented, and AI-Supported development practices to improve test development, debugging efficiency, and validation coverage.
  • Apply Generative AI, LLMs (Large Language Models), and AI Assistant technologies to accelerate test creation, failure analysis, documentation, and reporting.
  • Develop and evaluate Agentic AI and agent-based solutions that automate repetitive validation workflows and improve engineering productivity.
  • Utilize modern AI coding tools such as Code Assist, Cloud Assist, Roo Code, and other AI-enabled development environments to improve software quality and delivery velocity.

Required Qualifications
  • Education: Bachelor's degree with approximately 9 years of relevant experience, or a Master's degree in Computer Science, Data Science, Electrical/Computer Engineering, or a related field with 7 years of experience.
  • Programming: Proficiency in Python; familiarity with libraries such as NumPy, pandas, and basic scikit-learn usage.
  • Testing Fundamentals: Good understanding of test automation, testing methodologies, and test tools.
  • Machine Learning Basics: Working knowledge of ML fundamentals, including common algorithms, training concepts, and evaluation metrics.
  • Analytical Skills: Strong problem-solving and analytical ability; comfort working with data and debugging complex issues.
  • Collaboration: Ability to work effectively in a team environment and communicate technical concepts clearly.
  • Demonstrated interest in Artificial Intelligence, including experience using AI, applying AI, or leveraging AI tools for software development, automation, or data analysis.
  • Foundational understanding of LLMs (Large Language Models), prompt engineering, or AI-driven development workflows.

Preferred Skills
  • Exposure to ML frameworks such as TensorFlow or PyTorch.
  • Hands-on academic or project experience in machine learning, data science, or AI.
  • Basic understanding of embedded systems, firmware, or hardware testing concepts.
  • Familiarity with software development practices, including Git and agile workflows.
  • Experience building or integrating AI-Enabled automation solutions using LLMs, Generative AI, or Agentic AI frameworks.
  • Familiarity with creating Agentic Solutions that interact with software tools, test frameworks, or engineering workflows.
  • Experience using Artificial Intelligence, applying Artificial Intelligence, or leveraging Artificial Intelligence to improve software testing, data analytics, or engineering productivity.
  • Exposure to AI-assisted coding platforms and technologies such as Code Assist, Cloud Assist, GitHub Copilot, Microsoft Copilot, Claude Code, or similar tools.

Micron Technology is committed to advancing memory and storage solutions through engineering excellence, cross-functional collaboration, and responsible innovation.
The US base salary range that Micron Technology estimates it could pay for this full-time position is:
$137,000.00 - $232,000.00 a year
Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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